Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture
By Fenna M. Krienen, B. T. T. Yeo, Randy L. Buckner. Philosophical Transactions of the Royal Society B: Biological Sciences, 2014
376 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/225a4e606ea6117e9f87b9e68bb5210a5c623e3d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Olaf Sporns
- Steven E. Petersen
- Xi-Nian Zuo
- Stephen M. Smith
- Michael W. Cole
- Randy L. Buckner
- Bradley L. Schlaggar
- B. T. T. Yeo
In Radiology, Nuclear Medicine and Imaging
- Olaf Sporns
- Steven E. Petersen
- Xi-Nian Zuo
- Stephen M. Smith
- Bradley L. Schlaggar
- B. T. T. Yeo
- Michael W. Cole
- Randy L. Buckner
Citations in the corpus
- Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks (2019, neutral): “While an in depth discussion of this issue is beyond the scope of the current work, it is worth bearing in mind that the degree of correspondence between rest and task functional network configurations is a topic of ongoing investigation (Cole et al. 2014; Krienen et al. 2014; Bolt et al. 2017a).”
- The modular and integrative functional architecture of the human brain (2015, background): “In an analysis of changes in connectivity from spontaneous activity to a range of task-evoked activity, most connections were maintained; however, connector node regions’ connectivity patterns varied as a function of the task (37).”
- Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI (2017, background): “Given the strong link between task-fMRI and rs-fMRI (Smith et al. 2009; Mennes et al. 2010; Cole et al. 2014; Krienen et al. 2014; Bertolero et al. 2015; Yeo et al. 2015a; Tavor et al. 2016), and since the gwMRF model produced parcellations that were the most connectionally homogeneous (previous sec”
- Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality and Emotion (2017, background): “Given the strong link between task fMRI and rs-fMRI (Smith et al., 2009; Mennes et al., 2010; Cole et al., 2014; Krienen et al., 2014; Bertolero et al., 2015; Yeo et al., 2015a; Tavor et al., 2016; Gordon et al., 2017c), this might not seem surprising.”
- Mapping the human brain’s cortical-subcortical functional network organization (2018, positive): “These hypotheses are additionally supported by findings of strong correspondence between resting-state and task-state functional connectivity: Only subtle changes are observed in brain-wide functional connectivity organization during a wide variety of (functionally distinct) tasks and rest (Cole et ”
- Communication dynamics in complex brain networks (2017, background): “Individual network elements fluctuate in their modular affiliation 25,154 and their functional connectivity with other parts of the brain 155,156 , and extended functional networks reconfigure with changing task demands 156–159 .”
- Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation (2018, background): “, 2013a), and respond to different cognitive demands (Betti et al., 2013; Cole et al., 2014; Gratton et al., 2016; Krienen et al., 2014; Shine et al., 2016; Shirer et al., 2012).”
- The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5–21 year olds (2018, background): “Task fMRI analyses can target taskdependent functional connectivity (e.g. (Cole et al., 2014; Gratton et al., 2016; Insel et al., 2017; Krienen et al., 2014; Repov s and Barch, 2012),), which provides a collateral measure of brain network coordination that may overlap or differ in informatively…”
- Task‐specific topology of brain networks supporting working memory and inhibition (2024, background): “Individual differences in network structure and adaptability are thought to contribute to cognitive performance variations, emphasizing the importance of the brain's dynamic reconfiguration in response to cognitive challenges (Cole et al., 2014; Finn et al., 2015; Krienen et al., 2014).”